Theor Chem Acc (2001) 105:413±421 DOI 10.1007/s002140000204 Regular article Harmonic frequency scaling factors for Hartree-Fock, S-VWN, B-LYP, B3-LYP, B3-PW91 and MP2 with the Sadlej pVTZ electric property basis set Mathew D. Halls, Julia Velkovski, H. Bernhard Schlegel Department of Chemistry, Wayne State University, Detroit, MI 48202, USA Received: 22 May 2000 / Accepted: 30 August 2000 / Published online: 28 February 2001 Ó Springer-Verlag 2001 Abstract. Scaling factors for obtaining fundamental vibrational frequencies from harmonic frequencies calculated at six of the most commonly used levels of theory have been determined from regression analysis for the polarized-valence triple-zeta (pVTZ) Sadlej electric property basis set. The Sadlej harmonic frequency scaling factors for ®rst- and second-row molecules were derived from a comparison of a total of 900 individual vibrations for 111 molecules with available experimental frequencies. Overall, the best performers were the hybrid density functional theory (DFT) methods, Becke's three-parameter exchange functional with the Lee±Yang±Parr ®t for the correlation functional (B3LYP) and Becke's three-parameter exchange functional with Perdew and Wang's gradient-corrected correlation functional (B3-PW91). The uniform scaling factors for use with the Sadlej pVTZ basis set are 0.9066, 0.9946, 1.0047, 0.9726, 0.9674 and 0.9649 for Hartree±Fock, the Slater±Dirac exchange functional with the Vosko±Wilk± Nusair ®t for the correlation functional (S-VWN), Becke's gradient-corrected exchange functional with the Lee±Yang±Parr ®t for the correlation functional (B-LYP), B3-LYP, B3-PW91 and second-order Mùller± Plesset theory with frozen core (MP2(fc)), respectively. In addition to uniform frequency scaling factors, dual scaling factors were determined to improve the agreement between computed and observed frequencies. The scaling factors for the wavenumber regions below 1800 cm)1 and above 1800 cm)1 are 0.8981 and 0.9097, 1.0216 and 0.9857, 1.0352 and 0.9948, 0.9927 and 0.9659, 0.9873 and 0.9607, 0.9844 and 0.9584 for Hartree±Fock, S-VWN, B-LYP, B3-LYP, B3-PW91 and MP2(fc), respectively. Hybrid DFT methods along with the Sadlej pVTZ basis set provides reliable theoretical vibrational spectra in a cost-eective manner. This article is supplemented by an internet archive which can be obtained electronically from the Springer-Verlag server located at http://link.springer.de/journals/tca Correspondence to: H. B. Schlegel e-mail: [email protected] Key words: Vibrational frequencies ± Scaling factors ± Density functional theory ± Sadlej basis set 1 Introduction Theoretical calculations of the vibrational frequencies and spectral intensities for polyatomic species have become an invaluable chemical tool over the past decade. This can be largely attributed to the increased availability and eciency of robust energy derivative programs, in which the ®rst and second derivatives are computed analytically [1], and the increased power of aordable computers. These advances have pushed the applicability of ®rst-principle investigation of molecular vibrational properties from the small-molecule domain to the treatment of reasonably large systems [2±6]. Compared to conventional ab initio methods that include electron correlation, the superior performance and cost-eectiveness of density functional theory (DFT) is particularly desirable for larger molecules [7±9] and transition-metal complexes [10, 11]. The interpretation of experimental vibrational spectra for large molecules is greatly assisted by quantum chemical predictions, particularly in the region below 1800 cm)1, where the high density of states results in spectral congestion. Observed bands can be assigned on the basis of agreement between computed harmonic frequencies and experimental frequencies; however, more reliable interpretations can be made by making use of theoretical intensities as well, which can resolve the assignment of closely spaced bands. Therefore, it is desirable for a theoretical method to provide both reliable intensities and vibrational frequencies. Previous work comparing theoretical harmonic frequencies with observed fundamentals have shown that the calculated frequencies generally overestimate fundamental frequencies, because of the incomplete treatment of electron correlation, neglect of mechanical anharmonicity and basis set truncation eects. To improve the agreement between the predicted and observed frequencies, the computed harmonic frequencies are usually 414 scaled for comparison. In the ®rst use of scaling, separate factors were applied to stretching and bending force constants [12]. A systematic procedure with multiple scale factors was employed by Blom and Altona [13]. Various scaling strategies have been devised since these initial eorts [14±19]. The most sophisticated schemes developed by Rauhut and Pulay [18] and Baker et al. [19] use about a dozen parameters to scale force constants in internal coordinates. Simple uniform scaling achieves comparable accuracy (about 50% larger root-meansquare error), avoids any ambiguities related to the choice of internal coordinate system and can be applied to systems with partial bonding, such as transition states and clusters. This strategy is adopted in the present work. A uniform scaling factor of 0.89 was found by Pople et al. [20] in a comparison of harmonic frequencies computed at the Hartree±Fock/3-21G level of theory to observed fundamentals. Subsequent studies comparing Hartree±Fock frequencies computed using the larger 6-31G(d) basis set and experimental fundamentals suggest very similar uniform scaling factors of 0.8929 and 0.8953 [21, 22]. DFT consistently predicts harmonic vibrational frequencies in better agreement with observed fundamentals than conventional ab initio methods. In comparisons of observed fundamentals with computed harmonics using the 6-31G(d) basis set, Scott and Radom [23] and Wong [24] obtained scaling factors of 0.9833 for the Slater±Dirac exchange functional with the Vosko±Wilk±Nusair ®t for the correlation functional (S-VWN), 0.9945 for Becke's gradient-corrected exchange functional with the Lee±Yang±Parr ®t for the correlation functional (B-LYP) and 0.9614 for Becke's three-parameter exchange functional with the Lee±Yang±Parr ®t for the correlation functional (B3-LYP), and for conventional ab initio methods they found scale factors of 0.9427 and 0.9537 for second-order Mùller±Plesset (MP2) and quadratic con®guration interaction with single and doubles excitations (QCISD), respectively. The theoretical prediction of vibrational intensities is a computationally demanding task, because of the need to represent the tail region of the molecular wavefunction [25, 26], which requires medium- to large-sized basis sets with an adequate complement of polarization and diuse functions, and because of the need to include electron correlation. Inclusion of electron correlation was found to be essential for obtaining quantitative IR intensities [27±29]. Work in our laboratory has shown that IR intensities furnished by the hybrid DFT methods (B3-LYP and Becke's three-parameter exchange functional with Perdew and Wang's gradient-corrected correlation functional, B3-PW91) were in closest agreement with intensities obtained using a highly correlated ab initio method, QCISD [30]. Good IR intensities were achieved using medium-sized polarized basis sets augmented with a set of diuse functions. Overall the quality of IR intensities obtained by various methods were resolved into the following order: hybrid DFT > MP2 > local DFT » gradient-corrected DFT > Hartree±Fock. The prediction of quantitative Raman intensities is more costly than the prediction of IR intensities (which require second derivatives) because they depend on the square of the polarizability derivative, which requires calculation of the third derivative of the system energy with respect to geometric coordinates and the external electric ®eld (¶a/¶Qk ¶3E/¶Qk¶Fi¶Fk). Other work in our laboratory has found that the basis set dependence of predicted Raman intensities was quite large, requiring signi®cantly larger basis sets to obtain quantitative results than needed for IR intensities [31]. Raman vibrational intensities were found to be relatively insensitive to correlation eects at levels of theory applicable to large molecules, in marked contrast to the observed behavior of theoretical IR intensities. The quality of the basis set employed was found to be the dominant consideration in obtaining quantitative Raman intensities. We found, however, that the medium-sized Sadlej polarized-valence triplezeta (pVTZ) electric property basis set [32±34],1 which was ®t to reproduce polarizabilities, provided excellent quantitative Raman intensities comparable to those obtained using the much larger Dunning correlation consistent aug-cc-pVTZ basis set [35±37]. Harmonic vibrational scaling factors for the most widely used theoretical methods using the Sadlej basis would be highly bene®cial because of the excellent quantitative vibrational intensities provided by the Sadlej pVTZ basis set and the substantial savings it aords in computational cost. In the present work, harmonic vibrational frequencies were computed for a set of 900 individual vibrations for a diverse set of 111 ®rst- and second-row molecules and were compared to experimental fundamental frequencies [38].2 In this work we report harmonic frequency scaling factors computed by regression analysis, for the conventional ab initio methods, Hartree±Fock and MP2 and the local, gradient-corrected and hybrid density functional methods, S-VWN, B-LYP, B3-LYP and B3-PW91 using the Sadlej polarized basis set. 2 Methods The calculations in this study were performed using the Gaussian 98 suite of programs [39]. Following full geometry optimizations at each level of theory, harmonic frequencies were computed analytically for Hartree±Fock, MP2 (fc) [40, 41] and the various DFT methods employed in this study. The vibrational properties were computed for the test molecules in their ground state, enforcing their respective point group symmetry. The DFT methods employed here consisted of the S-VWN local functional [42, 43], the B-LYP gradient-corrected functional [44, 45] and two hybrid functionals: B3-LYP [46] and B3-PW91 [47]. The calculations were carried out with Sadlej's pVTZ basis set, optimized for electric properties [5s,3p,2d/7s,5p,2d/3s,2p] [32±34]. Complete tables of numerical data are available on the World Wide Web [48]. 1 Sadlej's polarized electric property basis set was obtained from the Extensible Computational Chemistry Environment Basis Set Database, version 1.0. Paci®c Northwest Laboratory, P.O. Box 999, Richland, WA 99352, USA. 2 F1 set of molecules used previously by Pople et al. [22], Scott and Radom [23] and Wong [24] minus AlCl3, BF3, B2H6, BH3CO, CH, NH, OH, SH, SiH, PH and LiF. 415 3 Discussion and results When predicting molecular properties using quantum chemical methods, researchers are often faced with a trade-o between the computational cost and the quality of results furnished by the method employed. The development and the use of scaling factors for theoretical harmonic frequencies have greatly extended the practical utility of results obtained from computationally inexpensive methods. The majority of previous studies related to the present work have focused on scaling factors for a number of theoretical methods using the reasonably small Pople split-valence doublezeta basis set with one set of polarization functions on heavy atoms, 6-31G(d) [49±51]. Experience has shown that this basis set is an economical choice yielding reliable molecular geometries and harmonic frequencies that, after scaling, provide good agreement with observed fundamentals. In addition to vibrational frequencies, the theoretical prediction of complete vibrational spectra requires reliable intensities as well. Studies investigating the basis set dependence of theoretical vibrational intensities, both IR and Raman, have shown that intensities computed using the 6-31G(d) and comparably sized basis sets provide only qualitative agreement with experimental observations [26]. Recently we have shown the moderately sized Sadlej polarized electric property basis set to be an outstanding costeective performer in the prediction of quantitative vibrational intensities [31]. In order to increase the utility of the Sadlej basis set we determined uniform scaling factors and low- and high-frequency scaling factors for the most often used theoretical methods. The molecules comprising the test set for the work described here are shown, along with their respective point-group symmetries in Table 1. Together, they provide a set of 900 experimentally well established fundamental frequencies against which the theoretical harmonic frequencies can be tested. 3.1 Hartree±Fock Harmonic frequencies computed at the Hartree-Fock level are known to systematically overestimate fundamental frequencies by 10±15%. There is good agreement in the literature de®ning a uniform harmonic frequency scaling factor for the Hartree±Fock/6-31G(d) level of theory of 0.8929±0.8953. The Sadlej pVTZ electric property basis set is roughly twice the size of the Pople 631G(d) basis set. The basis set dependence of theoretical harmonic frequencies is known to be modest in comparison to that of IR and Raman intensities [52]. In previous work, the Sadlej basis was shown to furnish vibrational intensities comparable to those obtained at around 10 times the computational cost, making the Sadlej basis an excellent compromise between cost and performance [31]. Table 1. Set of molecules and respective symmetry used in this study Molecule Symmetry Molecule Symmetry NClF2 ClF3 HOCl SiH3Cl ClNO ClNO2 ClNS NCl2F SiH2Cl2 Cl2O SOCl2 Cs C2v Cs C3v Cs C2v Cs Cs C2v C2v Cs SCl2 SiHCl3 PCl3 HOF SiH3F ONF NSF F2NH N2F2 F2O C2v C3v C3v Cs C3v Cs Cs Cs C2h C2v F2SO Cs S2F2 SiHF3 NF3 PF3 HNO3 HN3 C2 C3v C3v C3v Cs Cs CH3F C3v CH4 Td CH3OH Cs CH3NH2 Cs CH3SiH3 C3v C2Cl2 D*h C2N2 D*h HCCCl C*v HCCF C*v HCCH D*h Trans C2h CHClCHCl Cis CHClCHCl C2v CH2CCl2 C2v Cis CHFCHF C2v Trans CHFCHFC2h OCHCHO C2h CH3CN C3v CH3NC C3v CH3COF Cs CH2CH2 D2h Trans C2h CH2ClCH2Cl Gauche C2 CH2ClCH2Cl c-C2H4O C2v CH3CHO Cs HCOOCH3 Cs CH3COOH Cs SiH3CCH C3v CH3CH2Cl Cs Molecule Symmetry Molecule Symmetry H2O H2O2 H2S H2S2 NH3 PH3 SiH4 NO2 N2O SO2 O3 C2v C2 C2v C2 C3v C3v Td C2v C*v C2v C2v CH3CH2F c-C2H4NH CH3CH3 CH3NNCH3 CH3OCH3 CH2CCHCl HCCCH2Cl HCCCH2F CH2CCH2 CH3CCH CH2CHCHO Cs Cs D3d C2h C2v C1 Cs Cs D2d C3v Cs SO3 COClF ClCN COCl2 CSCl2 FCN COF2 CSF2 COS CO2 D3h Cs C*v C2v C3v C*v C2v C2v C*v D*h CH3CH2CN c-C3H6 CH3COCH3 HCCCCH CH2CHCHCH2 CH3CCH3 H2 HF N2 O2 Cs D3h C2v D*h C2h D3h D*h C*v D*h D*h CS2 D*h F2 D*h CHCl3 CHF3 HCN HNCO CH2Cl2 H2CO C3v C3v C*v Cs C2v C2v CH2(1A1) CH2(3B1) HCO HCOOH CH3Cl C2v C2v Cs Cs C3v 416 The average dierence, the average absolute dierence and the standard deviation from experimental data are presented in Table 2. Not surprisingly, the Hartree±Fock frequencies are in worse agreement with experimental fundamentals than the other theoretical methods considered here. This is expected, because of the neglect of electron correlation in the Hartree±Fock calculations. An important observation for the results presented in Table 2 is that the average dierence and the average absolute dierence are almost identical (within 3 cm)1) giving excellent motivation to develop a uniform scaling factor for this level of theory. Leastsquares regression analysis gives a suggested Hartree± Fock frequency scaling factor of 0.9066. This scaling factor is a little larger than the scaling factors determined for the 6-31G(d) basis set, but is comparable to scaling factors determined for larger basis sets such as 6-311G(d,p) and 6-311G(2d,p) of 0.9051 and 0.9054, respectively [23]. After scaling, the Hartree±Fock/Sadlej frequencies are in much better agreement, showing a marked decrease in the average dierence, the average absolute dierence and the standard deviation of around 145, 112 and 54 cm)1, respectively. The eect of uniform scaling on the error in the Hartree±Fock frequencies is shown in Fig. 1. The agreement for unscaled frequencies is severely biased toward overestimation. Upon uniform scaling the distribution of errors becomes much more satisfactory, peaking around zero dierence. Some of the problematic molecules for which the scaled Hartree±Fock/Sadlej frequencies were in worst agreement are NSF, F2O, F2 and O3. Scott and Radom [23] have previously noted severe disagreement between Hartree±Fock frequencies and experimental fundamentals for these systems. Given the overestimation of vibrational frequencies at the Hartree±Fock level, the inclusion of electron correlation, even at minimal levels, should improve the agreement between computed harmonic frequencies and experimental fundamentals. It has been noted that the eect of electron correlation on molecular geometries is to slightly elongate bonds, leading to a systematic decrease in force constants and, therefore, lower vibrational frequencies [53±55]. Table 2. Scaling factors and average dierence, average absolute dierence and standard deviation from experimental fundamentals with the Sadlej polarized-valence triple-zeta basis set (cm)1) Raw frequencies Average dierence Average absolute dierence Standard deviation Uniform scaling Uniform scaling factor Average dierence Average absolute dierence Standard deviation Dual scaling <1800 cm)1 scaling factor >1800 cm)1 scaling factor Average dierence Average absolute dierence Standard deviation 3.2 Local and gradient-corrected DFT Over the past decade, DFT has become an extremely popular alternative to conventional correlated ab initio methods. DFT methods provide molecular properties and energetics in similar or better agreement with experimental data than methods such as MP2. Previous studies examining the performance of local and gradientcorrected DFT in computing vibrational frequencies have shown that they provide good agreement with observed fundamental frequencies. The uniform scaling factors for the S-VWN and B-LYP levels of theory with the 6-31G(d) basis set have been determined to be 0.9833 and 0.9945±0.995, respectively [23, 24, 56]. Both scaling factors are signi®cantly closer to unity than that of Hartree±Fock, suggesting that the theoretical harmonic frequencies obtained by these methods may be used without scaling. The dierences and the standard deviation for the S-VWN/Sadlej and the B-LYP/Sadlej levels of theory are shown in Table 2. In contrast to Hartree± Fock, comparisons of the average dierence and the average absolute dierence for these methods show that the predicted harmonic frequencies are distributed around the experimental fundamental frequencies, with S-VWN overestimating the frequencies more than B-LYP. Also both S-VWN and B-LYP have standard deviations roughly half that of Hartree±Fock. Regression analysis gives uniform scaling factors of 0.9946 and 1.0047 for S-VWN/Sadlej and B-LYP/Sadlej, respectively. As with Hartree±Fock, the scaling factors determined for the Sadlej basis set for S-VWN and B-LYP are slightly larger than those for the 6-31G(d) basis set. Scaling factors for S-VWN frequencies obtained using a larger basis set than 6-31G(d) have not been reported; however, for the B-LYP/cc-pVDZ level of theory, a uniform scaling factor of 1.00 has been suggested [57], in agreement with work presented here. After uniform scaling the predicted frequencies are better distributed around the experimental values; however, the eect is small, as expected with scaling factors so close to unity. Histograms of the errors in the S-VWN/Sadlej and the B-LYP/Sadlej frequencies are shown in Figs. 2 and 3, respectively. An immediate observation is that compared Hartree±Fock S-VWN B-LYP B3-LYP B3-PW91 MP2(fc) 146.66 149.39 109.27 )26.61 42.37 47.85 25.87 44.69 59.53 34.64 49.12 63.68 33.09 55.77 88.79 )6.45 44.17 54.66 0.9066 1.99 36.96 55.71 0.9946 )14.05 43.10 52.40 1.0047 )20.08 41.49 50.31 0.8981 0.9097 )2.01 37.45 54.88 1.0216 0.9857 )2.61 35.21 47.32 1.0352 0.9948 )7.47 30.97 44.95 0.9726 0.9674 )13.27 )12.30 33.04 33.67 42.01 42.91 0.9927 0.9659 )4.60 25.23 38.84 0.9873 0.9607 )3.63 26.29 39.64 0.9649 )17.25 41.73 70.03 0.9844 0.9584 )8.84 31.84 68.82 417 with Hartree±Fock/Sadlej the distribution of errors is much broader, but with fewer large errors, limiting the improvement that can be obtained by uniform scaling. SVWN seems to underestimate vibrational frequencies as often and in similar magnitude as overestimate them and the eect of uniform scaling is very small. B-LYP tends to underestimate vibrational frequencies and uniform scaling has some eect in shifting the error distribution closer to zero. Some of the problematic molecules for which the scaled S-VWN/Sadlej and B-LYP/Sadlej frequencies were in poor agreement are NSF and NSCl. 3.3 Hybrid DFT Previous results obtained using hybrid DFT methods and the 6-31G(d) basis set have suggested that the hybrid DFT methods are the most successful procedures for predicting vibrational frequencies in agreement with experimental fundamentals. In addition to providing harmonic frequencies that can be easily scaled for reliable prediction of fundamentals, hybrid DFT has been shown to outperform Hartree±Fock, local and gradient-corrected DFT and MP2 in predict- Fig. 1. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled Hartree±Fock/Sadlej pVTZ level of theory Fig. 2. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled S-VWN/Sadlej pVTZ level of theory 418 Fig. 3. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled B-LYP/Sadlej pVTZ level of theory ing IR and Raman intensities [30, 31]. The uniform scaling factors for the B3-LYP/6-31G(d) and B3-PW91/ 6-31G(d) levels of theory have been determined to be 0.9614 and 0.9573, respectively [23]. The average dierence, the average absolute dierence and the standard deviation for the B3-LYP and B3-PW91 methods are shown in Table 2. Comparing the average dierence and the average absolute dierence for these methods suggests that the predicted harmonic frequencies are distributed around the experimental numbers, with some tendency for overestimation, behavior intermediate between that observed for Hartree±Fock and the pure DFT methods. The uniform scaling factors for B3-LYP/Sadlej and B3-PW91/Sadlej have been determined to be 0.9726 and 0.9674, respectively, similar to, but a little larger than, those reported with the 6-31G(d) basis set. This new scaling factor for B3-LYP/Sadlej replaces our earlier estimate of 0.9663, computed for a much smaller set of test molecules [31]. Uniform scaling signi®cantly decreases the average dierences, the average absolute dierences and the standard deviation for both methods. The eect of uniform scaling on the error distribution for the B3-LYP/Sadlej and B3-PW91/ Sadlej frequencies can be seen in Figs. 4 and 5, respectively. The raw hybrid DFT frequencies have many large overestimation errors, similar to that observed for Hartree±Fock. Uniform scaling does an excellent job in diminishing the number of extreme outliers; however, the scaled distribution peaks just under zero, showing a tendency of the uniformly scaled frequencies to slightly underestimate fundamentals. As with the Hartree±Fock and the pure DFT methods, hybrid DFT calculations on the molecules NSF and NSCl showed some of the largest dierences between theory and experiment. 3.4 Second-order Mùller±Plesset theory MP2 is the only conventional correlated ab initio method for which calculations on larger-sized chemical systems are feasible. Previous studies assessing the agreement between experiment and MP2 frequencies using the 6-31G(d), 6-31G(d,p) and 6-311G(d,p) basis sets have suggested uniform scaling factors of 0.9427± 0.9434, 0.9370 and 0.9496, respectively [21±23]. The average dierence, the average absolute dierence and the standard deviation from experimental fundamentals are listed for MP2 in Table 2. The MP2 dierences are very similar to those obtained using the hybrid DFT methods; however, the standard deviation is larger than for those methods. Regression analysis yields a uniform scaling factor of 0.9649 for the MP2/Sadlej level of theory, also comparable to the scaling factors determined for the hybrid DFT methods and a little closer to unity than scaling factors determined for MP2 using the smaller Pople basis sets. In previous studies using the 631G(d) basis set [21±23], similar behavior was observed for MP2 frequencies. The eect of scaling on the error distribution for MP2/Sadlej frequencies is shown in Fig. 6. The distribution of errors shown there resembles those for the hybrid methods described previously, with uniform scaling diminishing the number of extreme outliers and the scaled distribution peaks just under zero, showing a tendency of a uniformly scaled frequencies to slightly underestimate fundamentals. Even after uniform scaling the MP2 standard deviation seems suspiciously high in comparison to the DFT methods considered here. The apparent discrepancy in the in¯ated standard deviation is resolved by noting the eect of a few severe outliers. Pople and coworkers [22, 58] have pointed out that MP2 theory fails to adequately 419 Fig. 4. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled B3-LYP/Sadlej pVTZ level of theory Fig. 5. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled B3-PW91/Sadlej pVTZ level of theory describe O3 and NO2 asymmetric stretching frequencies. If the most severe outliers (O3, NO2, NSF and NSCl) for the MP2/Sadlej frequencies are neglected, the uniform scaling factors are practically unchanged, whereas the standard deviation decreases from around 70 to 49 cm)1.3 3 MP2(fc) calculations on C2Cl2 with the Sadlej basis set resulted in one imaginary frequency. Subsequent calculations using the 6-31G(d) basis set also gave one imaginary frequency, suggesting an inherent weakness in MP2 theory to adequately describe this molecule. 3.5 Dual scaling Experimental vibrational spectra are usually discussed in terms of dierent wavenumber regions known to generally correspond to dierent types of vibrations. The upper wavenumber region, above 1800 cm)1, contains vibrations composed largely of localized hydrogen stretches, whereas the mid wavenumber region contains heavy atom in-plane stretches and bends, and the low wavenumber region, the out-of-plane and torsional modes. It is in the latter two regions, below 420 Fig. 6. Histogram of frequency dierences between computed harmonics and observed fundamentals for the unscaled and scaled MP2/Sadlej pVTZ level of theory 1800 cm)1 (the ®ngerprint region), where quantum chemical prediction can be the most useful in making vibrational band assignments that may not be otherwise interpretable. Also, high-energy modes can be expected to be more anharmonic, leading to greater errors because of the harmonic approximation. To investigate the utility of separate scaling factors (dual scaling) for the two ranges <1800 cm)1 and >1800 cm)1, we reanalyzed the agreement between the theoretical harmonic frequencies and the experimental fundamentals for these two ranges. The dual scaling factors for the levels of theory considered here using the Sadlej pVTZ basis set are listed in Table 2. An interesting ®rst observation is in comparing dual scaling factors: the two pure DFT methods, S-VWN and B-LYP, tend to underestimate the low-frequency vibrations and tend to overestimate the high-frequency vibrations. The dierence between the <1800 cm)1 and the >1800 cm)1 scale factors are approx. +3% for correlated methods and approx )1% for Hartree±Fock. The dual scaling procedure does an excellent job in improving the error distribution between the scaled theoretical frequencies and experimental fundamental frequencies. The dual scaled error distributions are peaked around zero and the distributions are more symmetric, compared with the raw and uniform scaled frequency errors. The Hartree±Fock agreement is the least aected by dual scaling, whereas the DFT methods and MP2 share increased agreement with experiment. The eect of dual scaling on the error distributions is evident from Figs. 1±6. All methods show an improved error distribution from the raw and uniform scaled data. In particular, the histograms for the hybrid DFT methods, B3-LYP and B3-PW91, and MP2 show a marked improvement using dual scaling. 4 Conclusions The purpose of this work was to determine harmonic frequency scaling factors for use with the Sadlej electric property basis set, which is known to provide excellent vibrational intensities in a cost-eective fashion. Uniform scaling factors were determined through leastsquares analysis for the Hartree±Fock, S-VWN, B-LYP, B3-LYP, B3-PW91 and MP2 levels of theory. In addition to uniform scaling factors, dual scaling factors were determined which were shown to favorably increase the agreement between computed harmonic frequencies and experimental fundamentals. The hybrid DFT methods, B3-LYP and B3-PW91, were found to be most reliable for the prediction of vibrational frequencies, outperforming MP2 at signi®cantly less cost. For the prediction of vibrational spectra the use of hybrid DFT methods along with the Sadlej pVTZ basis set is costeective and yields excellent results for both frequencies and intensities. Acknowledgements. We gratefully acknowledge ®nancial support from the National Science Foundation (grant no. CHE9874005) and a grant for computing resources from NCSA (grant no. CHE980042 N). M.D.H. would also like to thank Wayne State University for ®nancial support provided by a Thomas C. Rumble Graduate Fellowship. References 1. Pulay P (1987) In: Lawley KP (ed) Ab initio methods in quantum chemistry. Wiley, New York, p 241 2. Halls MD, Aroca R (1998) Can J Chem 76: 1730 3. Kozlowski PM, Zgierski MZ, Pulay P (1995) Chem Phys Lett 247: 379 4. Rumi M, Zerbi G, Mullen K (1998) J Chem Phys 20: 8662 421 5. Langho SR, Bauschlicher CW, Hudgins DM, Sandford SA, Allamandola LJ (1998) J Phys Chem 102: 1632 6. Langho SR (1996) J Phys Chem 100: 2819 7. Dixon DA, Chase BE, Fitzgerald G, Matsuzawa N (1995) J Phys Chem 99: 4486 8. Stratmann RE, Burant JC, Scuseria GE, Frisch MJ (1997) J Chem Phys 106: 10175 9. Stratmann RE, Scuseria GE, Frisch MJ (1998) J Raman Spectrosc 29: 483 10. Sosa C, Andzelm J, Elkin BC, Wimmer E, Dobbs KD, Dixon DA (1992) J Phys Chem 96: 6630 11. Berces A, Ziegler T (1996) Top Curr Chem 182: 42 12. Pulay P, Meyer W (1974) Mol Phys 27: 473 13. Blom CE, Altona C (1976) Mol Phys 31: 1377 14. Botschwina P, Meyer W, Semkow AM (1976) Chem Phys 15: 25 15. Fogarasi G, Pulay PJ (1977) Mol Struct 39: 275 16. Pulay P, Fogarasi G, Pongor G, Boggs JE, Vargha A (1983) J Am Chem Soc 105: 7037 17. Panchenko YN (1996) Russ Chem Bull 45: 753 18. Rauhut G, Pulay P (1995) J Phys Chem 99: 3093 19. Baker J, Jarzecki AA, Pulay P (1998) J Phys Chem A 102: 1412 20. Pople JA, Schlegel HB, Krishnan R, DeFrees DJ, Binkley JS, Frisch MJ, Whiteside RA, Hout RF, Hehre WJ (1981) Int J Quantum Chem Quantum Chem Symp 15: 269 21. Hout RF, Levi BA, Hehre WJ (1982) J Comput Chem 3: 234 22. Pople JA, Scott AP, Wong MW, Radom L (1993) Isr J Chem 33: 345 23. Scott AP, Radom L (1996) J Phys Chem 100: 16502 24. Wong MW (1996) Chem Phys Lett 256: 391 25. Dykstra CE (1988) Ab initio calculation of the structures and properties of molecules. Elsevier, Amsterdam 26. Yamaguchi Y, Frisch M, Gaw J, Schaefer HF, Binkley JS (1986) J Chem Phys 84: 2262 27. Stanton JF, Lipcomb WN, Magers DH, Bartlett RJ (1989) J Chem Phys 90: 3241 28. Miller MD, Jensen F, Chapman OL, Houk KN (1989) J Phys Chem 93: 4495 29. Thomas JR, DeLeeuw BJ, Vacek G, Crawford TD, Yamagucki Y, Schaefer HF (1993) J Chem Phys 99: 403 30. Halls MD, Schlegel HB (1998) J Chem Phys 109: 10587 31. Halls MD, Schlegel HB (1999) J Chem Phys 111: 8819 32. http: //www.emsl.pnl.gov: 2080/forms/basisform.html 33. Sadlej AJ (1988) Collect Czech Chem Commun 53: 1995 34. Sadlej AJ (1992) Theor Chim Acta 79: 123 35. Dunning TH (1989) J Chem Phys 90: 1007 36. Kendall RA, Dunning TH, Harrison RJ (1992) J Chem Phys 96: 6769 37. Woon DE, Dunning TH (1993) J Chem Phys 98: 1358 38. Fundamental frequencies from: Shimanouchi T (2000) In: Mallard WG, Linstrom PJ (eds) NIST chemistry WebBook. NIST Standard Reference Database Number 69, National Institute of Standards and Technology, Gaithersburg, Md (http: //webbook.nist.gov) 39. Frisch MJ, Trucks GW, Schlegel HB, Scuseria GE, Robb MA, Cheeseman JR, Zakrzewski VG, Montgomery JA Jr, Stratmann RE, Burant JC, Dapprich S, Millam JM, Daniels AD, Kudin KN, Strain MC, Farkas O, Tomasi J, Barone V, Cossi M, Cammi R, Mennucci B, Pomelli C, Adamo C, Cliord S, Ochterski J, Petersson GA, Ayala PY, Cui Q, Morokuma K, Malick DK, Rabuck AD, Raghavachari K, Foresman JB, Cioslowski J, Ortiz JV, Stefanov BB, Liu G, Liashenko A, Piskorz P, Komaromi I, Gomperts R, Martin RL, Fox DJ, Keith T, Al-Laham MA, Peng CY, Nanayakkara A, Gonzalez C, Challacombe M, Gill PMW, Johnson B, Chen W, Wong MW, Andres JL, Gonzalez C, Head-Gordon M, Replogle ES, Pople JA (1988) Gaussian 98, Gaussian, Pittsburgh, Pa 40. Mùller C, Plesset MS (1934) Phys Rev B 46: 618 41. Curtiss LA (1995) In: Yarkony DR (ed) Modern electronic structure theory, part II.World Scienti®c, Singapore, p 991 42. Slater JC (1974) Quantum theory of molecules and solids, vol 4. McGraw-Hill, New York 43. Vosko SL, Wilk L, Nusair M (1980) Can J Phys 58: 1200 44. Becke AD (1988) Phys Rev A 38: 3098 45. Lee C, Yang W, Parr RG (1988) Phys Rev B 37: 785 46. Becke AD (1993) J Chem Phys 98: 648 47. Perdew JP (1991) In: Ziesche P, Eschrig H (ed) Electronic structure of solids. Akademie, Berlin, pp 11 48. http: //www.chem.wayne.edu/schlegel/supp-mat/ 49. Hariharan PC, Pople JA (1973) Theor Chim Acta 28: 213 50. Francl MM, Petro WJ, Hehre WJ, Binkley JS, Gordon MS, DeFrees DJ, Pople JA (1982) J Chem Phys 77: 3654 51. Rassolov V, Pople JA, Ratner M, Windus TL (1998) J Chem Phys 109: 1223 52. Sosa C, Schlegel HB (1987) 86: 6937 53. Badger RM (1934) J Chem Phys 2: 128 54. Badger RM (1935) J Chem Phys 3: 227 55. Thomas JR, DeLeeuw BJ, Vacek G, Schaefer HF (1993) J Chem Phys 98: 1336 56. Rauhut G, Pulay P (1995) 99: 3093 57. El-Azhary AA, Suter HU (1996) J Phys Chem 100: 15056 58. Raghavachari K, Trucks GW, Pople JA, Replogle E (1989) Chem Phys Lett 158: 207
© Copyright 2026 Paperzz